Arnab Majumdar

Education

2020-Now

PhD candidate (Physics)

Thesis title : Multiscale modeling of loading and unloading of hydrogen in hydrogen storage material using Small Angle Neutron Scattering (SANS) data

  • Further development of software solution Sassena for calculation of scattering pattern from Molecular Dynamics (MD) simulation.
  • Calculation of spectroscopic and wide angle diffraction pattern from Molecular Dynamics (MD) simulations.
  • Development of novel method for calculation of small angle neutron scattering (SANS) pattern from Molecular Dynamics (MD) simulation without any finite size effect.
  • Development of novel method for calculation of small angle neutron scattering (SANS) pattern from continuum simulation without any finite size effect.
  • Data-driven simulation of diffusion of hydrogen in hydrogen storage material using experimentally measured SANS data.
Additional responsibilities :
  • Trouble shooting simulations of colleagues to enable them to efficiently use Sassena.
  • Taking part in different experiments line neutron powder diffraction and X-ray diffraction, with colleagues.
Note : Finishing in 2024 January


2016-2019

MSc in Computer Aided Mechanical Engineering

Master thesis : A continuum shell formulation for anisotropic graphene structures and its comparison to Molecular Dynamics results

  • Development of anisotropic material model for graphene.
  • implementation of anisotropic constitutive law for membrane finite element formulation.
  • Molecular dynamic simulation of graphene using LAMMPS.
  • Comparison of molecular dynamic and continuum mechanic results.
Mini thesis : Identification of failure model parameters using data analysis method for Selective Laser Melting (SLM) process
  • Development of a prediction method of internal parameters of failure model using data analysis method for products manufactured by SLM process.
  • Generation of training data set in ABAQUS using a Python script for different combinations of failure model parameters.
  • Implementation of the developed prediction.
Important subjects :
  • Molecular Dynamics (MD) simulation
  • Numerical methods
  • FEM simulation
  • Continuum mechanics
  • Computational Fluid Dynamics (CFD) simulation
  • Tensor algebra


2009-2013

BTech in Mechanical Engineering

Thesis title : Addition of power given by two drivers sitting in a tricycle

Important subjects :

  • Solid mechanics
  • Fluid mechanics
  • Machine design
  • Manufacturing